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Anuj Veer

SIEM & SOAR Engineer

Pune, India

Profile Score

Skills & Expertise (18)

Microsoft Sentinel Advanced

9.0/10

3.4

Years Exp

KQL Advanced

8.5/10

3.4

Years Exp

Threat Hunting Advanced

8.3/10

3.4

Years Exp

Cortex XSOAR Intermediate

8.1/10

1.5

Years Exp

Microsoft Defender XDR Intermediate

7.8/10

1.5

Years Exp

API Integrations python scripting Power BI Sentinel Workbooks CTF Ethical Hacking Playbook Automation Azure Logic Apps Use Cases Microsoft Copilot Studio ServiceNow Burp Suite Cortex Xsiam

Work Experience

System Engineer– Threat Detection and Automation Engineer

Infosys Limited

Sep 2024 - Present

Onboarded 8+ custom log sources into Sentinel, improving telemetry completeness and reducing blind spots by 33%. Executed a Threat Detection & Response (TDR) project focused on MITRE ATT&CK TTP coverage analysis, identifying detection gaps and improving coverage by 30%. Designed and implemented triage and response playbooks in Microsoft Sentinel SOAR and Cortex XSOAR, reducing manual investigation effort by 40%. Created threat actor–based hunting queries, correlating multiple TTPs to uncover advanced attack patterns and generate 10+ new detection use cases and watchlists. Integrated 6+ external Security tools and APIs using custom Logic Apps connectors improving enrichment depth by 36%. Developed automated multi-branch investigation playbooks, accelerating phishing and identity anomaly triage by 48%. Currently developing Cortex XSOAR and XSIAM expertise to expand capabilities in multi-platform detection and automation engineering.

Senior System Associate – Security Analyst

Infosys Limited

Sep 2021 - Sep 2024

Led a 5-member SOC analyst group, improving shift coordination and accelerating incident handoff efficiency by 32%. Integrated 20+ Microsoft Sentinel log sources, increasing overall telemetry visibility by 45%. Designed MITRE ATT&CK–aligned detection use cases and engineered 25+ optimized KQL analytics rules to enhance coverage for post-compromise attack techniques, improving early threat detection accuracy and reducing undetected and noisy behaviors by ~30%. Built Sentinel Workbooks that enabled leadership to track SOC KPIs, reducing reporting time by 40%. Led continuous detection refinement using Azure Data Explorer (KQL) and pipeline analysis to fine-tune alerts and reduce false positives by 35%. Experienced in communicating and coordinating with stakeholders and application owners during Sentinel Integration and automation deployment.